What GPU do I need to run XiaomiMiMo/MiMo-V2-Flash?
309.8B parameters, published in F8_E4M3. View on Hugging Face
Set up MiMo-V2-FlashMiMo-V2-Flash is published by XiaomiMiMo on Hugging Face, with 88,038 downloads and 749 likes to date. It's a MiMoV2FlashForCausalLM model built for text-generation, published natively in F8_E4M3.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| FP8 (native) | 288.5 GB | 346.2 GB | RTX 4090 | 8 | $3.53/hr |
| INT4 (quantized) | 144.3 GB | 173.1 GB | RTX A5000 | 8 | $1.41/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run MiMo-V2-Flash at its published (F8_E4M3) precision: 8× RTX 4090, at $0.441/hr per GPU ($3.53/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
MiMo-V2-Flash: common questions
Can MiMo-V2-Flash run on a single GPU?
No. At FP8 (native) it needs 346.2 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest capable card in the live feed is a 48.0 GB RTX 4090, and it takes 8 of them.
Is MiMo-V2-Flash already quantized?
Yes. It is published in FP8, one byte per parameter, so the 346.2 GB figure is already a quantized footprint rather than a full-precision one. Only INT4 goes below it, at 173.1 GB. A GPU without FP8 tensor cores cannot run it as published, which is why cards here are matched on precision support and not on VRAM alone.
How many GPUs do I need to run MiMo-V2-Flash?
8 at FP8 (native). It needs 346.2 GB of VRAM and the cheapest capable live offer is a 48.0 GB RTX 4090, so 8 of them come to $3.53/hr in total.
Does quantizing MiMo-V2-Flash lower the GPU bill?
Yes. At FP8 (native) the cheapest live fit is 8 RTX 4090 cards at $3.53/hr. At INT4 (quantized) it drops to 8 RTX A5000 cards at $1.41/hr, provided a quantized checkpoint exists for it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More MiMo V2 models
- MiMo-V2.5 (310.8B, F8_E4M3)
- MiMo-V2.5-Pro (1023.2B, F8_E4M3)
- MiMo-V2.6-Distill-Qwen-9B (9.4B, BF16)
Related reading: RTX 4090 pricing and specs, and The best GPUs for AI, ranked.
